教师介绍

罗卿莉

来源:更新时间:2025-03-07

姓 名 罗卿莉
职 称 副教授
所在系别 感知科学与工程系
联系电话 022-27402366
电子邮件 luoqingli@dgquanwei.com
办公地址 天津大学17教学楼326
导师类型 硕士生导师—仪器科学与技术
通讯地址 天津大学精密仪器与光电子工程学院
邮政编码 300072

个人经历或学术经历

工作经历

  1. 2019/12-至今 天津大学,精仪学院,副教授
  2. 2018/01-2019/12 天津大学,精仪学院,讲师
  3. 2013/12-2018/01 天津大学,遥感研究中心,专职副研究员

教育经历

  1. 2010/08-2013/12 香港中文大学,地球系统与地理信息科学,博士,导师:Daniele Perissin/林珲

研究方向
  1. 高精度INSAR形变监测
  2. SAR溢油监测(深度学习)
  3. 真实3D建模

个人简介

  主要从事遥感监测(SAR遥感与INSAR应用)、人工智能与视觉捡测等方面的研究,广泛应用于大型构筑物和海岸带形变监测、高程提取、变化捡测、溢油检测以及无人机视觉匹配定位与导航等领域。主持26项科研项目,包括国家自然科学项目2项,省部级项目9项,日本JAXA国际合作项目3项。共发表论文50篇,其中SCI检索20篇,总引用次数370次,单篇最高70次。受邀在国内外重要会议和相关单位作特邀/口头报告40次。担任中国测绘学会智能化测绘工作委员会、CNISDE青科委和数字热带亚热带专委会委员,任IEEE会员,国家自然科学基金同行评议专家等,受邀担任《Remote Sensing》客座编辑,《International Journal of Applied Earth Observation and Geoinformation》和《IEEE Transactions on Geoscience and Remote Sensing》等40余种国际国内期刊审稿人,2018年和2019年分别入选天津大学“北洋学者·青年骨干教师计划”和天津市131创新人才计划。大部分学生毕业后进入著名研究所与知名企事业单位工作,拥有很强的竞争力;指导的学生赴香港中文大学开展合作项目研究,为学生提供更好的发展平台。

科研项目、成果和专利
  1. 1. 日本JAXA(宇宙航空研究开发机构)the 4th Research Announcement on the Earth Observations (EO-RA4),CONTINUOUS DEFORMATION MONITORING ALONG HIGH-SPEED RAILWAYS USING PALSAR-2 AND PALSAR-3 INSAR ANALYSIS,2025.04-2028.03,180景ALOS-2/4(价值约450万),在研,主持;
  2. 2. 企事业单位委托,雷达遥感卫星数据处理与解译,2023/12/31-2025/6/30,在研,主持;
  3. 3. 天津市重点实验室开放基金,基于智能手机视觉三维重建的铁路勘测目标量测应用研究,2023/8-2024/12,已结题,主持;
  4. 4. 企事业单位委托,2022年天津市滨海新区货运源头遥感监测研究,2022/08/15-2023/3/19,已结题,主持;
  5. 5. 日本JAXA(宇宙航空研究开发机构),INTERFEROMETRIC ANALYSIS ALONG HIGH SPEED RAILWAY USING PALSAR-2 AND PALSAR-4,2022.04-2025.03,60景 ALOS-2/ALOS-4数据(价值约150万元),在研,主持;
  6. 6. 天津市基金重点项目,21JCZDJC00670,遥感城市灾害应急管理与预警关键技术研究,2021/10/01-2024/9/30,已结题,主持;
  7. 7. 国家工程实验室开放基金,2021ZH04,基于线结构光测量的钢轨表面伤损检测的技术研究,2021/05-2022/12,已结题,主持;
  8. 8. ICEYE合作项目,The study of oil spill monitoring with ICEYE X-Band SAR images(63992),2020/11-2021/12,4景ICEYE数据(价值约10万元),已结题,主持;
  9. 9. 天津市交通运输委员会,2022-02,遥感技术在货运源头核查中的应用,2020.01-2021.12,已结题,主持;
  10. 10. 日本JAXA(宇宙航空研究开发机构),Multi-temporal INSAR analysis of high speed railway deformation in Beijing-Tianjin-Hebei region using PALSAR-2,2019.05-2022.04,60景 ALOS-2数据(价值约150万元),已结题,主持;
  11. 11. 天津大学“北洋骨干·青年教师”人才计划,2019XRG-0024,合成孔径雷达遥感,2019/01/01-2020/12/31,已结题,主持;
  12. 12. 国家重点实验室青年教师科研项目,Pilq1803,多时相INSAR城市目标识别与高度变化监测,2018/04/01-2020/03/01,已结题,主持;
  13. 13. 国家重点研发计划,2018YFC1407401,海上丝绸之路运输环境安全保障服务系统集成与应用示范,2018/08/01-2021/12/31,已结题,主要参与;
  14. 14. 国家自然科学基金青年项目,41601446,Sentinel-1新型TOPS模式PSI大区域地表形变监测研究,2017/01-2019/12,已结题,主持;
  15. 15. 天津市自然科学基金青年项目,16JCQNJC01200,Sentinel-1新型TOPS模式INSAR测量的关键技术研究,2016/04-2019/03,已结题,主持;
  16. 16. 国家自然科学基金重点项目,41431179,无缝集成城市真正射影像与实景可视化生成的理论与方法,2015/01-2019/12,已结题,子课题负责人;
  17. 17. 对地观测技术国家测绘地理信息局重点实验室开放基金,K201408,MT-INSAR超精细城市DSM提取方法研究,2015/01-2015/12,结题,主持;
  18. 18. 广西重点实验室基金项目,13-051-14-16,MTI/GNSS大坝变形监测研究,2014/01-2015/12,已结题,主持;
  19. 19. 企事业单位委托,2015GFW-0006,基于差分合成孔径雷达干涉测量的基础沉降监测和环境监测技术及管理系统的研究,2014/10-2014/12,已结题,主持;
  20. 20. 海洋战略性新兴产业专项,cxsf-39,机载海陆双频推扫式激光雷达仪产品化开发, 2015/01-2017/12,已结题,主要参与。

论文、专著
  1. 1. Qingli Luo*, Mengli Li, Zhiyuan Yin, Peifeng Ma, Jun Gan, Daniele Perissin and Yuanzhi Zhang, “Land subsidence velocity and high-speed railway risks in the coastal cities of Beijing-Tianjin-Hebei, China with 2015-2021 ALOS PALSAR-2 multi-temporal InSAR analysis”, Remote Sensing, 2024, 16(24), 4774. (SCI,JCR1区)
  2. 2. Xintao Jiang, Shubin Zhang, Jun Gan, Jujie Wei, Qingli Luo*, “LFHNet: Lightweight Full-Scale Hybrid Network for Remote Sensing Change Detection”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17: 10266-10278.( SCI, JCR1区,TOP )
  3. 3. 罗卿莉,张书缤,蒋鑫涛,魏钜杰,甘俊,“融合无人机位姿信息的地面目标定位方法”,测绘通报,2025.(核心)
  4. 4. 罗卿莉,陈志远,张书缤,谭兆,石德斌,甘俊,“基于改进半径约束圆拟合方法的钢轨磨耗检测”,铁道工程学报,2024,41(03): 38-44.(EI)
  5. 5. 罗卿莉,陈志远,刘宇婷,张进,李煜. “紧缩极化SAR卷积神经网络溢油检测方法”,测绘通报,2024,(06): 13-18.(核心)
  6. 6. Yuting Liu, Qingli Luo*, Jin Zhang, Yu Li, “Deep Learning-based Method for Sentinel-1 Dual-polarized SAR Oil Spill Detection”, Proc. of IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2024, Althens, Greece, 2024/7/7-2024/7/12. (Oral)
  7. 7. Xueyan Li, Qingli Luo*, Wenyu Gong, Minglong Xue, "A Single SAR Height Estimation Network with Sparse Height and Proxyless Neural Architecture Search", Proc. of IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2024, Althens, Greece, 2024/7/7-2024/7/12. (Oral)
  8. 8. Qingli Luo*, Mengli Li, Wenyu Gong, Meiting Zhou, Yuexuan Ma. "Sentinel-1 PS-InSAR analysis over residential buildings in south Tianjin, China", Proc. of IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2024, Althens, Greece, 2024/7/7-2024/7/12. (Poster)
  9. 9. Qingli Luo*, Yuting Liu, Jin Zhang, Yu Li, “Sentinel-1 dual-polarized SAR oil spill detection with object detection and segmentation networks”, Proc. of the 4th International Forum on Big Data for Sustainable Development Goals, Beijing, China, 2024/9/6-2024/9/8. (Oral)
  10. 10. Qingli Luo*, Hong Li, Zhiyuan Chen, Jian Li, “ADD-UNet: An Adjacent Dual-Decoder UNet for SAR-to-Optical Translation”, Remote Sensing, 2023, 15(12): 3125. (SCI,JCR1区)
  11. 11. Minglong Xue, Jian Li, Qingli Luo*, “A geometry-aware consistent prior for height estimation from a single SAR imagery in mountain areas”, IEEE Geoscience and Remote Sensing Letters, 2023, 20: 1-5. (SCI,JCR1区)
  12. 12. 罗卿莉,蒋鑫涛,魏钜杰,“基于改进显著性检测的SAR影像变化检测”,测绘科学,2023, 48(12): 172-187. (核心).
  13. 13. 罗卿莉,张书缤,陈相,魏钜杰. “无人机与卫星影像匹配的相似性逼近算法”,测绘通报,2023(09):64-69.(核心).
  14. 14. Qingli Luo*, Zhiyuan Chen, Shubin Zhang. “Image-based Rail Surface Defect Detection of Line-Structured Light Data”, 2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2023. (EI, poster).
  15. 15. Qingli Luo*, Shubin Zhang, Zhiyuan Chen, “Line structured light measurement system, method and experiments for rail profile”, 2022 3rd International Symposium on Automation, Information and Computing (ISAIC 2022), 2022, 12/9-12/11 (EI, oral).
  16. 16. Xue Minglong, Li Jian, Zheng Zhao, Luo Qingli*, “SAR2HEIGHT: Height Estimation from a Single SAR Image via Proxyless Depth-Aware Penalty Neural Architecture Search for Unet in mountain areas”, Remote Sensing, 2022, 14(21), 5329. (SCI,JCR1区).
  17. 17. Xue Minglong, Li Jian, Luo Qingli*, “Toward Optimal Learning Rate Schedule in Scene Classification Network”, IEEE Geoscience and Remote Sensing Letters, 2022, 19, 1-5. (SCI,JCR1区).
  18. 18. Qingli Luo, Jian Li, Yuanzhi Zhang*, “Monitoring subsidence over the planned Jakarta–Bandung (Indonesia) high-speed railway using Sentinel-1 Multi-temporal InSAR data”, Remote Sensing, 2022, 14(17),4138. (SCI,JCR1区).
  19. 19. Zhang Jin, Feng Hao, Luo Qingli*, Yu Li, Yu Zhang, Jian Li, Zhoumo Zeng, “Oil Spill Detection with Dual-Polarimetric Sentinel-1 SAR Using Superpixel-Level Image Stretching and Deep Convolutional Neural Network”, Remote Sensing, 2022,14(16), 3900. (SCI,JCR1区).
  20. 20. 罗卿莉,崔峰志,魏钜杰,明磊, “SAR影像变化检测的前景特征流形排序法”, 测绘学报, 2022, 51(11): 2365-2378. (EI)
  21. 21. 罗卿莉,陈相,魏钜杰,“结合轻量双注意力模块的孪生卷积网络变化检测”,测绘科学, 2022, 47(08): 213-219. (核心).
  22. 22. Minglong Xue, Jian Li, Qingli Luo*. “Height Estimation from a Single SAR Image by Depth-Aware Proxyless Neural Architecture Search”, 7th International Conference on Signal and Image Processing (ICSIP), 2022, 7/20, 2022 – 7/22. (EI, oral).
  23. 23. Zhiyuan Chen, Xintao Jiang, Qingli Luo*, Shubin Zhang, Honghui Chen and Xiang Chen, “A rail wear detection method based on particle swarm algorithm”, In Proceedings of 2021 2nd International Symposium on Automation, Information and Computing (ISAIC 2021), 2021, 12/03-12/06 (EI, oral).
  24. 24. Jin Zhang, Qingli Luo*, Yu Li, Hao Feng, Jujie Wei, “Oil spill detection using refined convolutional neural network based on quad-polarimetric SAR images”, Proc. Of ICEMI 2019, Changsha, China, 2019/10/25~10/27. (EI,Oral)
  25. 25. Jin Zhang, Hao Feng, Qingli Luo*, Yu Li, Jujie Wei, Jian Li, “Oil Spill Detection in Quad-Polarimetric SAR Images Using an Advanced Convolutional Neural Network Based on SuperPixel Model”, Remote Sensing. 2020, 12(6), 944. (SCI, JCR1区,被引43次).
  26. 26. Qingli Luo, Mingyuan Hu*, Zheng Zhao, Jian Li, Zhoumo Zeng, “Design and Experiments of X-type artificial control targets for a UAV-LiDAR System”, International journal of remote sensing, 2020, 41(9), 3307–3321. (SCI,JCR1区,被引4次).
  27. 27. Yicheng Xi, Qingli Luo*, “A Morphology-Based Method for Building Change Detection Using Multi-Temporal Airborne LiDAR Data”, Remote Sensing Letters, 2018, 9(2), 131-139. (SCI,JCR3区,被引10次)
  28. 28. Qingli Luo, Guoqing Zhou* & Daniele Perissin, “Monitoring of Subsidence along Jingjin Inter-city Railway by High resolution TSX MT-INSAR analysis”, Remote Sensing, 2017, 9(7), 717. (SCI, JCR1区,被引32次)
  29. 29. Qingli Luo*, Perissin D., Zhang Y.& Youliang Jia, “L- and X-Band Multi-Temporal InSAR Analysis of Tianjin Subsidence”, Remote Sens., 2014, 6(9), 7933-7951. (SCI, JCR1区,被引70次)
  30. 30. Qingli Luo, Perissin D., Lin H., Zhang Y.& Wei Wang, “Subsidence Monitoring of Tianjin Suburbs by Permanent Scatterer Interferometry with High Resolution TerraSAR-X”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(5), 1642 - 1650. (SCI, JCR1区, 被引56次)
  31. 31. Guoqing Zhou, Qingli Luo, Wenhan Xie, Tao Yue, Jingjin Huang and Yuzhong Shen, “Transformation Model with Constraints for High-Accuracy of 2D-3D Building Registration in Aerial Imagery”, Remote Sensing, 2016, 8(6), 507. (SCI, JCR1区)
  32. 32. Guoqing Zhou, Jingjin Huang, Xiaodong Tao, Qingli Luo, Rongting Zhang, Zaihua Liu, “Overview of 30 years of research on solubility trapping in Chinese karst”, Earth-Science Reviews, 2015, 4. (SCI, JCR1区,TOP,被引33次)
  33. 33. Zhou, G.Q., Wang, H.Y., Chen, W.R., Zhang, G.Y, Luo, Q.L., Jia, B., “Impacts of Urban land surface temperature on tract landscape pattern, physical and social variables”, International journal of remote sensing, 2020, 41(2), 683–703. (SCI,JCR1区,被引20次).
  34. 34. Mingyuan Hu, Weitao Che, Qiuju Zhang, Qingli Luo, Hui Lin, “A Multi-Stage Method for Connecting Participatory Sensing and Noise Simulations”, Sensors, 2015, 15(2), 2265-2282. (SCI, JCR1区)
  35. 35. Guoqing Zhou, Jingjin Huang, Tao Yue, Qingli Luo, Guangyun Zhang, “Temporal-spatial distribution of wave energy: A case study of Beibu Gulf, China”, Renewable Energy. 2015, 74, 344-356. (SCI, JCR1区,被引35次)
  36. 36. Li, Tao, Liu, G., Lin, H., Jia, H., Zhang, R., Yu, B., Luo, Qingli, “A hierarchical multi-temporal InSAR method for increasing the spatial density of deformation measurements”, Remote Sens. 2014, 6, 3349–3368. (SCI, JCR1区)

 

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